title: Effect of ENSO-driven precipitation on population irruptions of the Yangtze vole Microtus fortis calamorum in the Dongting Lake region of China.
abstract: The Yangtze vole (Microtus fortis Buechner, 1889) is a small herbivore species that inhabits lake beaches in the Dongting Lake region along the Yangtze River in Southern China. Its population shows strong oscillations during the wet season due to summer precipitation-induced immigration away from the lake into adjacent rice fields. The effect of El Niño-Southern Oscillation-driven precipitation on population abundance and growth of the vole species is not fully understood. We undertook an analysis of the combined data of 4 time series covering 1981-2006 from 4 different sites and a separate analysis on a single time series (1981-2006) from one site. Our results demonstrate that a dual effect of El Niño-Southern Oscillation-driven precipitation on the population abundance of voles is time-dependent: precipitation in the current year has a positive effect, whereas precipitation in the previous year has a negative effect. The dual effect of precipitation on vole population is well explained by the unique interactions among vole population, precipitation water level and the lake beach habitat around Dongting Lake. We found that drier than average weather of the previous year benefited voles because their breeding habitats, lake beaches, were exposed for long stretches of time. Wet weather was found to increase the number of voles inhabiting rice fields because as the water level of the lake rose they were forced from beaches into surrounding rice fields. Summer precipitation in the Dongting Lake region was found to be positively associated with the sea surface temperature (SST) of the eastern tropical Pacific Ocean of the previous year and winter SST and spring SST of the current year. Annual rates of increase in the vole population of the reconstructed time series are negatively associated with the vole abundance and autumn precipitation of the previous year and winter precipitation of the current years. These results suggest that both extrinsic and density-dependent intrinsic factors may affect population dynamics of the Yangtze voles.
authors.affiliation: State Key Laboratory of Integrated Pest Management in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaAgricultural Technology Extension Center, Ministry of Agriculture, Beijing, ChinaGraduate School of Chinese Academy of Sciences, Beijing, ChinaInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaCollege of Life Science, Sichuan University, Chengdu, China.
authors.forename: Zhibin
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Integrated Pest Management in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaAgricultural Technology Extension Center, Ministry of Agriculture, Beijing, ChinaGraduate School of Chinese Academy of Sciences, Beijing, ChinaInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaCollege of Life Science, Sichuan University, Chengdu, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Xu
authors.affiliation: State Key Laboratory of Integrated Pest Management in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaAgricultural Technology Extension Center, Ministry of Agriculture, Beijing, ChinaGraduate School of Chinese Academy of Sciences, Beijing, ChinaInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaCollege of Life Science, Sichuan University, Chengdu, China.
authors.forename: Cong
authors.initials: C
authors.lastname: Guo
authors.affiliation: State Key Laboratory of Integrated Pest Management in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaAgricultural Technology Extension Center, Ministry of Agriculture, Beijing, ChinaGraduate School of Chinese Academy of Sciences, Beijing, ChinaInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaCollege of Life Science, Sichuan University, Chengdu, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Integrated Pest Management in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaAgricultural Technology Extension Center, Ministry of Agriculture, Beijing, ChinaGraduate School of Chinese Academy of Sciences, Beijing, ChinaInstitute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaCollege of Life Science, Sichuan University, Chengdu, China.
authors.forename: Yongwang
authors.initials: Y
authors.lastname: Guo
mesh_terms: D000818:Animals; D003411:Arvicolinae / Q000502:physiology*; D002681:China; D003710:Demography; D059000:El Nino-Southern Oscillation; D011156:Population Density; D011157:Population Dynamics; D011891:Rain; D012044:Regression Analysis; D012621:Seasons; D013696:Temperature